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Computational Simulation of CO_2 Sorption in Polymeric Membranes Using Genetic Programming

机译:遗传编程聚合物膜中CO_2吸附的计算模拟

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摘要

A statistical model based on genetic programming was developed to study the solubility of CO_2 in different polymers including polystyrene, poly(vinyl acetate), polybutylene succinate and poly(butylene succinate-co-adipate). The proposed genetic model can predict the CO_2 solubility with the average relative deviation of 0.095, 0.0503, 0.0312, 0.039% and R2 values of greater than 0.98. The results showed efficient applicability of the model and its outperformance in predicting the CO_2 solubility compared with other modeling approaches. Therefore, the proposed model contributes to enhancing better understanding of gas/polymer systems and aids in alleviating the difficulties arising in the prediction of gas solubilities during the design and optimization of the relevant processes.
机译:开发了一种基于遗传编程的统计模型,研究了CO_2在不同聚合物中的溶解度,包括聚苯乙烯,聚(乙酸乙烯酯),聚丁烯琥珀酸盐和聚(丁二酸丁酸酯 - 共同己二酸)。所提出的遗传模型可以预测CO_2溶解度,平均相对偏差为0.095,0.0503,0.0312,0.039%和R2值大于0.98。结果表明,与其他建模方法相比,该模型的高效适用性及其在预测CO_2溶解度方面的表现。因此,拟议的模型有助于提高气体/聚合物系统的更好理解,并有助于减轻在设计和优化相关过程中预测气体溶解度中出现的困难。

著录项

  • 来源
  • 作者单位

    Young Researchers and Elites Club Science and Research Branch Islamic Azad University Tehran Iran;

    Separation Processes Research Group (SPRG) Department of Engineering University of Kashan Kashan Iran;

    Department of Mechanical Engineering Curtin University Perth WA Australia Fluid Research Group and Curtin Institute for Computation Curtin University Perth WA Australia;

    Faculty of Chemical and Materials Engineering Shahrood University of Technology Shahrood Iran;

    Department for Management of Science and Technology Development Ton Duc Thang University Ho Chi Minh City Vietnam Faculty of Applied Sciences Ton Duc Thang University Ho Chi Minh City Vietnam;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Modeling; Polymer; CO_2; Genetic programming; Artificial intelligence;

    机译:造型;聚合物;CO_2;遗传编程;人工智能;

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